Skip to main content

Metamodeling Agroforestry Adoption

Assessing factors influencing adoption of improved fallows in southern Africa using an integrated linear programming and econometric model

  • Chapter
Valuing Agroforestry Systems

Part of the book series: Advances in Agroforestry ((ADAG,volume 2))

  • 1018 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Adesina, A. A., Mbila, D., Nkamleu, G. B., & Endamana, D. (2001). Econometric analysis of the determinants of adoption of alley farming by farmers in the forest zone of southwest Cameroon. Agriculture, Ecosystems and Environment, 80, 255–265.

    Google Scholar 

  • Alavalapati, J. R. R., Luckert, M. K., & Gill, D. S. (1995). Adoption of agroforestry practices: a case study from Andhra Pradesh, India. Agroforestry Systems, 32, 1–14.

    Article  Google Scholar 

  • Ayuk, E. T. (1997). Adoption of agroforestry technology: the case of live hedges in central plateau of Burkina Faso. Agricultural Systems, 54, 189–206.

    Article  Google Scholar 

  • Bastidas, E. (2001). Assessing potential response to changes in the livelihood system of diverse, limitedresource farm households in Carchi, Ecuador: Modeling livelihood strategies using participatory methods and linear programming. Unpublished doctoral dissertation, University of Florida, Gainesville, Florida.

    Google Scholar 

  • Brady, M. V. (1998). Experimental integration of a root zone leakage model (SOIL-N) with a farm level economic model. TP 3-Integration of Mathematical models (Swedish Water Management Research Programme [VASTRA] Working Paper 5) Department of Economics, Swedish University of Agricultural Sciences, Uppsala, Sweden.

    Google Scholar 

  • Buresh, R. J., Sanchez, P. A., & Calhoun, F. G. (Eds.). (1997). Replenishing Soil Fertility in Africa SSSA. (Special Publication No.51): Madison, Wisconsin: Soil Science Society of America.

    Google Scholar 

  • Cabrera, V. (1999). Farm problems, solutions, and extension programs for small farmers in Cañete, Lima, Peru. Unpublished masters thesis, University of Florida, Gainesville, Florida.

    Google Scholar 

  • Frontline Systems. (1999). Premium Solver for Excel for Windows. Incline Village, Nevada: Author.

    Google Scholar 

  • Glass, G. V., McGaw, B., & Smith, M. L. (1981). Meta analysis in social research. London: Sage publications.

    Google Scholar 

  • Hildebrand, P. E., Breuer, N. E., Cabrera, V. E., Sullivan, A. J. (2003). Modeling diverse livelihood strategies in rural livelihood systems using ethnographic linear programming. (Staff paper SP 03-5). Food and Resource Economics Department, Institute of Food and Agriculture Sciences, University of Florida, Gainesville, Florida.

    Google Scholar 

  • International Center for Research in Agroforestry (ICRAF). (1997). Annual Report 1996. Nairobi, Kenya: ICRAF.

    Google Scholar 

  • Johnson, K. E., Bauer, K. W., Jr., Moore, J. T., & Grant, M. (1996). Metamodeling techniques in multidimensional optimality analysis for linear programming. Mathematics and Computer Modeling, 23, 45–60.

    Google Scholar 

  • Kaya, B., Hildebrand, P. E., & Nair, P. K. R. (2000). Modeling changes in farming systems with the adoption of improved fallows in southern Mali. Agricultural Systems, 66, 51–68.

    Article  Google Scholar 

  • Kleijnen, J. P. C. (1998). Experimental design for the sensitivity analysis, optimization and validation of simulation models. In J. Banks (Ed.), Handbook of Simulation. New York: John Wiley and Sons.

    Google Scholar 

  • Kleijnen, J. P. C., & Sargent, R. G. (1997). A methodology for the fitting and validation of metamodels in simulation. (Center discussion paper No. 97116). Katholieke University Brabant, Tilburg, The Netherlands. Retrieved April, 2002 from http://greywww.kub.nl:2080/greyfiles/center/1997/doc/116.pdf..

    Google Scholar 

  • Kruseman, G. 2000. Bio-economic household modeling for agricultural intensification. (Mansholt Studies 20). Mansholt Graduate School, Wageningen, The Netherlands.

    Google Scholar 

  • Kuyvenhoven, A., Heerink, N., & Ruben, R. (1999). Economic policy in support of soil fertility: which interventions after structural adjustment? In E. M. A. Smaling, O. Oenema, & L. O. Fresco (Eds.). Nutrient Disequilibria in Agroecosystems: Concepts and Case Studies, (pp.119–140). Willingford, United Kingdom: CAB International.

    Google Scholar 

  • Kwesiga, F., Franzel, S., Place, F., Phiri, D., & Simwanza, C. P. (1999). Sesbania sesban improved fallows in Eastern Zambia: Their inception, development and farmer enthusiasm. Agroforestry Systems, 47, 49–66.

    Article  Google Scholar 

  • Litow, P. A. (2000). Food security and household livelihood strategies in the Maya Biosphere Reserve: The importance of milpa in the community of Uaxactún, Petén, Guatemala. Unpublished master’s thesis, Agricultural Education and Communication, Institute of Food and Agriculture Science, University of Florida, Gainesville, Florida.

    Google Scholar 

  • Maddala, G. S. (1983). Limited dependent and quantitative variables in econometrics. (Econometric Society Monograms 3). Cambridge, United Kingdom: Cambridge University Press.

    Google Scholar 

  • Microsoft. (2000a). Microsoft Excel version 9.0 for Windows [Computer software]. Seattle, Washington: Microsoft Corporation.

    Google Scholar 

  • Microsoft. (2000b). Microsoft Visual Basic 9.0 for Windows [Computer software]. Seattle, Washington: Microsoft Corporation.

    Google Scholar 

  • Mudhara, M. 2002. Assessing the livelihood system diversity of smallholder farm households: Potential of improved fallows in Zimbabwe. Unpublished doctoral dissertation, Food and Resource Economics, Institute of Food and Agriculture Science, University of Florida, Gainesville, Florida.

    Google Scholar 

  • Sanchez, P. A, Shepherd, K. D., Soule, M. J., Buresh, R. J., Izac, A.-M. N., Mokwunye, A. U. et al. (1997). Soil fertility replenishment in Africa: An investment in natural resource capital. In R. J. Buresh, P. A. Sanchez, & F. G. Calhoun (Eds.). Replenishing Soil Fertility in Africa. (Soil Science Society of America [SSSA] Special Publication No. 51, pp. 1–46). Madison, Wisconsin: SSSA.

    Google Scholar 

  • Schafer, William D. (2001). Replication: a design principle for field research [Electronic version]. Practical Assessment, Research & Evaluation, 7(15).

    Google Scholar 

  • Sen, S, Higle, J. (1999). An introductory tutorial on stochastic linear programming models. Interfaces, 29(2), 33–61.

    Article  Google Scholar 

  • Sengupta, J. K. (1970). Stochastic linear programming with chance constraints. International Economic Review. 11(1): 101–116.

    Google Scholar 

  • Shazam (1997). Shazam user guide. Retrieved February 2002, http://shazam.econ.ubc.ca/intro/logit1.htm.

  • Smaling, E. M. A. (1993). Soil nutrient depletion in sub-Saharan Africa In H. van Reuler, & W. H. Prins (Eds.), The Role of Plant Nutrients for Sustainable Crop Production in Sub-Saharan Africa (pp. 53–67). Leidschendam, The Netherlands: Dutch Association of Fertilizer Producers.

    Google Scholar 

  • Thangata, P. H. (2002). The potential for agroforestry adoption and carbon sequestration in smallholder agroecosystems of Malawi: An ethnographic linear programming approach. Unpublished doctoral dissertation, Natural Resources and Environment, University of Florida, Gainesville, Florida.

    Google Scholar 

  • Thangata, P. H., & Alavalapati, J. R. R. (2003). Agroforestry adoption in southern Malawi: The case of mixed intercropping of Gliricidia sepium and maize. Agricultural Systems, 78, 57–71.

    Article  Google Scholar 

  • Thangata, P. H, Hildebrand, P. E., & Gladwin, C. H. (2002). Modeling agroforestry adoption and household decision making. African Studies Quarterly [Electronic version], 6,(1/2).

    Google Scholar 

  • White, K. J. (1997). Shazam user’s reference manual version 8.0. New York: McGraw-Hill.

    Google Scholar 

  • World Bank. (1996). African Development Indicators 1996. Washington, D.C.: World Bank.

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Kluwer Academic Publishers

About this chapter

Cite this chapter

Thangata, P.H., Alavalapati, J.R.R., Hildebrand, P.E. (2004). Metamodeling Agroforestry Adoption. In: Valuing Agroforestry Systems. Advances in Agroforestry, vol 2. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2413-4_12

Download citation

Publish with us

Policies and ethics